HIGHLIGHTS
- who: Zhouming Qi and collaborators from the School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China have published the article: Multiple Pedestrian Tracking in Dense Crowds Combined with Head Tracking, in the Journal: (JOURNAL) of 23/Dec/2022
- what: To reduce the negative impact of severe occlusion in dense scenes on the performance degradation of the tracker considering that the is the highest and least occluded part of the pedestrian`s entire body the authors propose a new multiobject method for pedestrians in dense crowds combined with For each frame of the . . .
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